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. 2017 Jun 21;27(Suppl 3):7. doi: 10.11604/pamj.supp.2017.27.3.11930

Vaccination coverage and factors influencing routine vaccination status in 12 high risk health zones in the Province of Kinshasa City, Democratic Republic of Congo (DRC), 2015

Guillaume Ngoie Mwamba 1,&, Norbert Yoloyolo 1, Yolande Masembe 2, Muriel Nzazi Nsambu 2, Cathy Nzuzi 1, Patrice Tshekoya 1, Barthelemy Dah 2, Guylain Kaya 1
PMCID: PMC5745950  PMID: 29296142

Abstract

Introduction

Vaccination coverage of the first dose of diphtheria-tetanus-pertussis-hepatitis B-Haemophilus influenza type b (pentavalent) vaccine for the City-Province of Kinshasain the years 2012 – 2014 wasbelow the national objective of 92%, with coverage less than 80% reported in 12 of the 35 health zones (HZ). The purpose of this study was to discern potential contributing factors to low vaccination coverage in Kinshasa.

Methods

We conducted a multi-stage cluster household study of children 6 – 11 months in households residing in their current neighborhood for at least 3 months in the 12 high risk HZ in Kinshasa. Additional information on vaccination status of the children was collected at the health facility.

Results

Of the 1,513 households with a child 6-11 months old, 81% were eligible and participated. Among the 1224 children surveyed, 96% had received the first dose of pentavalent vaccine; 84% had received the third dose; and 71% had received all recommended vaccines for their age. Longer travel time to get to health facility (p=0.04) and shorter length of residence in the neighborhood (p=0.04) showed significant differences in relation to incomplete vaccination. Forty percent of children received their most recent vaccination in a facility outside of their HZ of residence.

Conclusion

This survey found vaccination coverage in 12 HZs in Kinshasa was higher than estimates derived from administrative reports. The large percentage of children vaccinated outside of their HZ of residence demonstrates the challenge to use of the Reaching Every District strategy in urban areas.

Keywords: Routine Immunization, routine vaccination, urban, reaching every district

Introduction

Vaccination has been demonstrated to be a highly effective means to fight disease [1]. In Sub-Saharan Africa, despite the availability of vaccines against many infectious diseases and the efforts from governments and their partners to vaccinate every child in the community where they live, the mortality rate from vaccine-preventable diseases for children under five remains among the highest in the world [2]. In order to reach the full potential of vaccination, the Global Vaccination Action Plan (GVAP) [1] and the regional goals for Africa aim to reach at least 90% vaccination coverage for routinely recommended vaccines at the national level and at least 80% in all the health districts by 2020 [3].

The Democratic Republic of Congo (DRC) provides vaccination free of charge through its public, faith-based and private for-profit clinics. As of 2015, 10 antigens were offered during 5 healthcare encounters from birth through 9 months of age. Since 2003, 5 new vaccines have been introduced; the most recent introduction was Inactivated Polio Vaccine (IPV) in 2015. DRC national vaccination objectives for 2015 include 92% of children under 1 vaccinated with the first dose of diphtheria-tetanus-pertussis-hepatitis B-Haemophilus influenza type b (pentavalent or Penta) and 90% vaccinated with measles containing vaccine (MCV) through routine vaccination services [4].

The City-Province of Kinshasa, the capital of the DRC, has an area of 9,965Km² and an estimated population of 11.6 million inhabitants [5]. A comparison of the first dose of Penta and MCV coverage using 2014 administrative data showed coverage that remained below global and national targets reaching 89% and 79%,respectively. Low vaccination coverage could lead to outbreaks of measles, polio and other vaccine preventable diseases. The mid-term review organized in July 2014 showed 12 (34%) of 35 Health Districts (called Health Zones, HZ) in Kinshasa with a coverage of the first dose of Penta lower than 80%, representing about 20,000 children under one year of age who were expected for the first dose of Pentavalent vaccine and did not receive it (Table 1). Using an earlier survey [6] and field experience, program staff postulated that families were not accessing vaccination services for one or more of the following reasons including that they lacked information of when and where to go; were not reached by community volunteers (French abbreviation: ReCo) or other traditional channels of information; were only recently arrived in the area; found health services unpleasant or time consuming due to crowding; found vaccination cost too much money; or feared side effects. Additionally, children who received their first vaccination were postulated to be failing to complete the primary series for one or more of the following reasons including that families lacked information of when to return; were not accessible for defaulter tracing; or were discouraged because health services were crowded and consumed too much time.

Table 1.

Target population and coverage of first dose of pentavalent vaccine (Penta1) in 12 high risk Health Zones in Kinshasa, DRC, data Jan-July 2014

Health zone Target population EPI, 0-11 months Coverage Penta1 Children 0-11 months not vaccinated, Penta1
Bandalungwa 6,661 73% 899
Barumbu 5,567 46% 1,503
Binza-Ozone 13,718 55% 3,087
Bumbu 15,190 62% 2,886
Kalamu I 5,347 78% 588
Kingasani 8,123 62% 1,543
Kintambo 3,837 59% 787
Lemba 11,805 64% 2,125
Lingwala 3,154 51% 773
Makala 11,274 60% 2,255
Masina I 12,247 61% 2,388
Ngaba 6,670 67% 1,101
Total 103,593 61% 19,935

Source : DRCMinistry of Health EPI database:January to June 2014

To identify potential reasons why families in these high-risk HZ were not accessing vaccination services or completing the series, we conducted a household survey of the routine vaccination status of children 6 to 11 months of age. Additionally, we explored household and residential neighborhood factors for those children to examine possible differences between those who do and do not receive all the recommended vaccines for one’s age.

Methods

We conducted a cross-sectional, stratified, 3 stage cluster survey of children 6 – 11 months old (mo) in12 high risk HZs in Kinshasa. The survey methods are described in detail elsewhere [7]. A quota of households in randomly selected neighborhoods were visited and a structured interview was conducted with the parent or caregiver present in the household and most familiar with the child’s vaccinations; the family was included only if they had resided in the selected neighborhood for at least 3 months prior to the interview. and provided verbal consent. In addition to the questions regarding routine vaccination and household characteristics, the respondent was asked about their experiences in the health facility where the child either had received the most recent vaccination or, in case the child had never been vaccinated, where the child had received the most recent curative healthcare. As many of the identified facilities as could be located within the 12 HZ were visited and the vaccination history of the children copied from the immunization register. Vaccination coverage was calculated based on the history provided by the parent, and if available, the information in the vaccination card and/or the vaccination register. A vaccination was considered received if found in any of the three sources with no attempt to reconcile differences. Up to date for vaccination was calculated based on the recommended vaccines for the child according to age. IPV was not included in the definition of up to date as it was introduced in Kinshasa in April 2015, and therefore not recommended for many of the surveyed children.

Data were entered into a CSPro database and analyzed using SAS v.9.4. We calculated the percentages and Wilson confidence intervals accounting for the strata (HZs) and clusters (residential clusters). Confidence intervals were calculated at the 95% level. We tested significance using 2nd order Rao-Scott chi-square tests; p-values less than 0.05 were considered significant. The assessment was classified as a routine public health program evaluation by the human subject coordinator at the Centers for Disease Control and Prevention in the United States. In DRC, the assessment received approval from the national ethics committee.

Results

Of the 1,513 households with a child 6-11 months old, 19% were ineligible due to residence in the neighborhood less than 3 months, unavailability to be interviewed, or refusal to participate; 81% were eligible and participated. Parents or caregivers responded for 1,224 children (6–11 months) [7].

Demographics of the study respondents

The demographics of the study respondents are presented in Table 2. Among the children surveyed, 46% were female, 32% were first born, and 96%d were born at the hospital. Twenty seven percent of the households had lived in the neighborhood for the last 3 – 11 months and 94% owned at least one mobile phone. In 56% of the households, 5 – 9 people live in the dwelling. The majority of mothers of the surveyed children were married or cohabitating (79%), completed elementary school (73%), were Christian (93%), and did not work outside of the home (66%).

Table 2.

Demographic characteristics among households interviewed in 12 high risk HZ in Kinshasa, DRC (n=1224)

N+ %
Gender
Masculine 655 54
Feminine 568 46
Vaccination data source
Home-basedcard 860 74
Facility based register (no card) 104 9
Caregiverrecallonly 206 18
Birth order of child
First 387 32
2-4 665 54
5-9 171 14
Length of residence in neighborhood
3m-11m 315 27
12-23m 248 21
24-59m 342 29
5+yrs 276 23
Mother’s age
<20yrs 101 9
20 – 24 yrs 291 25
25 – 29 yrs 334 28
30 – 34 yrs 243 21
35 – 39 yrs 163 14
40+ yrs 47 4
Mother’s marital status
Married/cohabitation 970 79
Not married 252 21
Mother’s education
None 60 5
Primary 885 73
Secondary 254 21
Post-secondary 6 1
Mother’s religion
Catholic 151 12
Other Christian 989 81
Muslim 15 1
Other 71 6
Mother’s occupation
Works outside the home/student 418 34
None/housewife 803 66
Household owns mobile telephone
Yes 1146 94
No 74 6
Number of persons in household
2-4 342 28
5-9 684 56
10+ 194 16
+

Numbers excludemissing data

Vaccination coverage

Coverage from 18% of children (n=206) was estimated from parental recall only, 74% (n=860) estimated from card, and 9% (n=104) from the facility-based register (Table 2). Vaccination coverage by antigen is presented in Table 3. Excluding doses typically given on the maternity ward, more than 90% of children 6-11 months had at least a first contact with vaccination services (OPV1: 93% (CI 91-95%), Penta: 96% (CI 94-97%), PCV: 95% (CI 93-97%)). Coverage for third doses of vaccines in the national schedule was 77% (CI 74-80%) for OPV, 84% (CI 81-86%) for Penta and 84% (CI 81-86%) for PCV. Eighty five percent (CI 80-88%) of the children 10-11 months old were vaccinated against measles during routine vaccination, and 84% (CI 80-88%) against yellow fever. Overall, 71% (CI 68-75%) of the children were up-to-date for their age at the time of the survey. The vaccination coverage is presented by HZ in Table 4. The vaccination coverage for Penta 1 ranged from 90-99%, and 76%-97% for MCV.

Table 3.

Vaccination coverage among children 6-11 months old living in 12 high risk Health Zones in Kinshasa, DRC, by antigen+ (N=1224)

Recommended age of administration Coverage
n % 95% CI
BCG Birth 1196 98 96, 98
OPV0 Birth 1147 94 91, 95
OPV1 6 weeks 1144 93 91, 95
OPV2 10 weeks 1079 88 85, 90
OPV3 14 weeks 962 77 74, 80
Penta1 6 weeks 1168 96 94, 97
Penta2 10 weeks 1142 93 91, 95
Penta3¥* 14 weeks 1035 84 81, 87
PCV1 6 weeks 1164 95 93, 97
PCV2 10 weeks 1131 93 91, 94
PCV3 14 weeks 1028 84 81, 86
MCV 9 months 327++ 85 80, 88
Yellow Fever 9 months 325++ 84 80, 88
Up-to-date for age 889 71 68, 75

BCG=Bacille Calmette Guerin; OPV= Oral Polio Vaccine ; Penta= Pentavalent (diphtheria-tetanus-pertussis-hepatitis B-Haemophilus influenza type b); PCV=Pneumococcal Conjugate Vaccine ; MCV=Measles Containing Vaccine

+

combined data from immunization card, verbal history, and immunization registry

++

children 10-11 mo

¥+

The estimated intra-class correlation (ICC) for Penta3 among 6-11 month olds (average cluster size = 6.8) was 0.12, and among 12-23 month olds was 0.03 (average cluster size = 4.0)

Table 4.

Vaccination coverage among children living in 12 high risk Health Zones in Kinshasa, DRC, by zone+

Penta 1 MCV++
% 95%CI % 95%CI
Bandalungwa 96 91, 100 83 69, 97
Barumbu 93 89, 98 79 63, 94
Binza-Ozone 96 91, 100 79 64, 93
Bumbu 97 94, 100 82 72, 92
Kalamu I 93 87, 99 85 74, 97
Kingasani 94 89, 100 86 68, 100
Kintambo 94 89, 99 76 55, 96
Lemba 98 94, 100 86 69, 100
Lingwala 98 95, 100 97 89, 100
Makala 90 80, 100 88 77, 99
Masina I 99 97, 100 93 84, 100
Ngaba 96 92, 100 89 76, 100
+

combined data from immunization card, verbal history, and immunization registry

++

children 10-11 mo

When asked if the child had received all recommended vaccinations, a total of 1092 of the 1224 respondents (76%, CI 74-79%) responded yes (Table 5). Among those 1092, 249 (24%) children in fact lacked at least one antigen for their age. Overall, 40% (CI 37-43%) of children were reported to have visited a facility outside of their HZ of residence for their most recent vaccination or curative services.

Table 5.

Characteristics of children residing in 12 high risk Health Zones in Kinshasa, DRC, by vaccination status (N=1224)

Up-to-date++ Not Up-to-date p
N+ %+ 95% CI N+ %+ 95% CI
Gender 0.27
Masculine 469 70 65, 74 186 30 26, 34
Feminine 420 73 68, 78 148 27 22, 32
Mother thought child was up-to-date <0.001
Yes 843 76 72, 79 249 24 21, 28
No 46 37 27, 48 86 63 52, 73
Time to arrive to facility 0.04
0-15 minutes 417 77 71, 81 113 23 19, 29
16–30 minutes 240 75 69, 80 79 25 20, 30
>30 minutes 117 66 58, 72 60 34 28, 42
Price of last vaccination 0.75
Free 80 69 58, 78 31 31 21, 42
1-500FC 294 74 69, 79 98 26 21, 31
501-2000FC 360 75 70, 79 116 25 21, 30
>2000FC 126 73 64, 81 42 27 20, 36
Length of residence 0.04
3m-11m 210 65 58, 71 105 35 29, 42
12-23m 181 71 65, 77 67 29 23, 35
24-59m 259 75 70, 80 83 25 20, 30
5+years 206 74 67, 80 70 26 20, 33
+

Numbers exclude missing data

++

Up to date – child received all antigens recommended for age at the time of the survey

Select characteristics of surveyed children by vaccination status is shown in Table 5. Seventy seven percent (CI 71%-81%) of children whose caregiver responded that they lived 0 – 15 minutes from the health facility were up-to-date for vaccination, versus 66% (CI 58-72%) of those who live more than 30 minutes away (p= 0.04). Of the children who had lived in the current neighborhood for the past 3-11 months, 65% (CI 58-71%) were up-to-date compared to 71% (CI 65-77%), 75% (CI 70-80%) and 74% (CI 67-80%) among those who had lived in the neighborhood 12-23 months, 24-59 months and more than 5 years, respectively (p= 0.04). There was no significant difference based on gender (p= 0.34) or cost for the most recent vaccination session (p= 0.9).

User perceptions

Respondents were asked several questions regarding the facility used most recently for vaccination. The factor cited as the most important in choosing the health facility was quality of staff (56%, CI 52-59%), followed by distance from residence (20%, CI 17-22%) (Figure 1). Regarding the source of information for vaccination (data not shown), 74% of respondents (CI 70%-77%) learned that vaccination was important during antenatal care and/or at delivery at the maternity ward and 74% (CI 70-78%) were told where to get vaccination during antenatal care and/or at delivery at the maternity ward. Few respondents (<2%) reported ReCoas a source of information that vaccination was important or as a location to receive vaccination services.

Figure 1.

Figure 1

Factor cited by respondent as most important in choice of health facility for most recent vaccination, 12 high risk Health Zones in Kinshasa, DRC

Discussion

We found vaccination coverage among children living in twelve high risk HZs in Kinshasa was higher than the reported administrative coverage estimates and that none of the HZs had coverage below 90% for doses recommended at 6 weeks of age, indicating high levels of access to vaccination services. However, only 71% of 6-11 month old children were up to date for their age, indicating in this population more of a problem with children completing the vaccination series. This survey identified significant differences in being up to date for vaccination related to duration of residence in the neighborhood and distance to the health facility. Importantly, almost a quarter of caregivers mistakenly thought that their child was up to date with vaccinations and thus did not seek missing vaccines. This survey did not find price, lack of knowledge about the importance of vaccination or barriers related to the caregiver seeking services as having differences with respect to vaccination status. This survey found that perceived quality of service was the most important factor in caregiver choice of health facility.

Community volunteers (ReCo) are often relied upon by health facilities for communicating with the public regarding vaccination services; however, in our survey these were shown to be the source of vaccination information for only < 2% of respondents. The ReCo’s weak contribution to communication observed in this study is consistent with other studies in urban settings [8]. These factors indicate the need for better communication regarding when and where to receive vaccination through additional channels, while the near universality of hospital births, the relatively higher level of education of the mothers, and the availability of mobile telephones offer opportunities.

Distance to a health facility might indicate the need for additional HF, but in an urban setting, where families have a choice of vaccination sites, determining what factors are considered by caregivers when assessing “quality”, the most cited criteria for choice of vaccination site, and enhancing the services provided in all facilities may create a draw to neighborhood services.

Our survey identified a large discrpenancy between administrative data and actual coverage, 15 to 47 percentage points by HZ for Penta 1 with an average difference of 34% points and median of 31. For the 12 HZs together, the difference is 27 percentage points, a 44% difference between the 2 sources. One reason for this could be that 40% of surveyed children in these 12 HZs were vaccinated outside of their HZ of residence, and thus the dose would have been administratively counted in another HZ. The non-capture of children outside of their HZ of residence may generate errors in the prioritization and planning of activities, for example targeting these HZ for catch up activities though in reality the children are already vaccinated. Although not explored in detail during our survey, another contributing factor to this discrepancy may include poor quality of administrative data which has been demonstrated in other reports [9-11].

These findings raise questions about the effectiveness of the Reaching Every District (RED) strategy, the key vaccine program implementation strategy, in Kinshasa. RED has been extensively evaluated in rural settings [12-16] and relies upon 5 components, 1) planning and management of resources, 2) reaching target populations, 3) linking services with communities, 4) supportive supervision and 5) monitoring for action, for improved vaccination [17]. This study found that families in urban settings have the ability to readily seek services outside of their zone of residence. The effectiveness of RED hinges upon accurate definition of community and catchment population for mobilization, planning and monitoring. The definition of community in this urban context needs to be revisited, new models developed for planning and monitoring vaccination coverage to achieve program objectives.

Survey results were shared with the management teams of the 12 HZs, each of which developed an action plan to address findings in their HZ. Strategies were developed based on evidence from the survey showing that most of the problem with low coverage was due to drop-out, and addressing factors identified by this survey.

This survey had several limitations. The results are limited to an intentional sample of 12 HZs in a large metropolitan area and cannot be considered representative of all children living in Kinshasa. Coverage estimates include verbal history from caregivers which may over or under estimate actual coverage. Other factors, such as distance to and price of vaccination services, relied on recall, which may bias these results.

Conclusion

In summary, we found vaccination coverage in the 12 HZs in Kinshasa to be higher than program objectives, but failure to complete the primary series remains a serious concern. The high percentage of hospital births, the relatively higher level of education of the mothers and the ubiquity of mobile phones offer opportunities for future interventions to assure that all children complete the vaccination series. This study also challenges the applicability of some components of the RED approach in the 12 HZs in Kinshasa particularly the need for novel approaches to planning, calculating coverage, defaulter tracking and social mobilization in urban environments.

What is known about this topic

  • Distance from the vaccination site limits access to vaccination;

  • There is a lack of communication between health workers and mothers on immunization;

  • Collateral costs of vaccination (purchase of the pre-school consultation card, payment of the vaccine act) limits access to vaccination.

What this study adds

  • This survey identified significant differences in being up to date for vaccination related to duration of residence in the neighborhood and distance to the health facility;

  • The high percentage of hospital births, the relatively higher level of education of the mothers and the ubiquity of mobile phones offer opportunities for future interventions to assure that all children complete the vaccination series;

  • This study also challenges the applicability of some components of the RED approach in the 12 HZs in Kinshasa particularly the need for novel approaches to planning, calculating coverage, defaulter tracking and social mobilization in urban environments.

Competing interests

The authors declare no competing interest.

Acknowledgments

The authors would like to thank Dr. Aissata Diaha, Dr. Kinuani Leon, Dr. Yapi Moise, Dr. Nsamba Renée from WHO/DRC and Karen Wilkins, Eleanor Burnett, Dr. Nandini Sreenivasan, Dr. Kathleen Wannemueler and Danni Daniels of CDC/Atlanta for their contribution in time and expertise, and all the survey teams and supervisors for their technical contribution and dedication to the job, without which the information would not have reached this level of quality. Many thanks to M. Pascale Sogbo and Ms. Margaret Langhamer for their support with data collection and management.

Authors’ contributions

All the authors have read and agreed to the final manuscript.

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